Genetic Epidemiology
Springer New York
Chapter title |
Genome-Wide Association Studies
|
---|---|
Chapter number | 4 |
Book title |
Genetic Epidemiology
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7868-7_4 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7867-0, 978-1-4939-7868-7
|
Authors |
Abbas Dehghan, Dehghan, Abbas |
Abstract |
Genetic association studies have made a major contribution to our understanding of the genetics of complex disorders over the last 10 years through genome-wide association studies (GWAS). In this chapter, we review the key concepts that underlie the GWAS approach. We will describe the "common disease, common variant" theory, and will review how we finally afforded to capture the common variance in genome to make GWAS possible. Finally, we will go over technical aspects of GWAS such as genotype imputation, epidemiologic designs, analysis methods, and considerations such as genomic inflation, multiple testing, and replication. |
Country | Count | As % |
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United Kingdom | 2 | 50% |
Spain | 1 | 25% |
Unknown | 1 | 25% |
Type | Count | As % |
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Scientists | 2 | 50% |
Members of the public | 2 | 50% |
Country | Count | As % |
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Unknown | 127 | 100% |
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 26 | 20% |
Student > Master | 18 | 14% |
Student > Bachelor | 15 | 12% |
Researcher | 14 | 11% |
Student > Doctoral Student | 5 | 4% |
Other | 12 | 9% |
Unknown | 37 | 29% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 36 | 28% |
Agricultural and Biological Sciences | 17 | 13% |
Medicine and Dentistry | 12 | 9% |
Social Sciences | 4 | 3% |
Neuroscience | 4 | 3% |
Other | 14 | 11% |
Unknown | 40 | 31% |